Models of Computation for Big Data - Couverture souple

Akerkar, Rajendra

9783319918501: Models of Computation for Big Data

Couverture souple

ISBN 10 : 3319918508 ISBN 13 : 9783319918501

Editeur : Springer, 2018

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The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths and address the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory.

Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity.

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�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319918508
ISBN 13: 9783319918501
Reliure: Broch�
Nombre de pages: 112
Coordonn�es du fabricant: non disponible
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Models of Computation for Big Data

Rajendra Akerkar

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319918508 ISBN 13 : 9783319918501

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &nbspFocuses on the fundamental principles of algorithm design for big data processing Covers advanced models of computation relevant for developing memory-efficient &nbspalgorithmsAdvanced-level students and researchers focusing on computer and da. N� de r�f. du vendeur 220546648

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Models of Computation for Big Data (SpringerBriefs in Advanced Information and Knowledge Processing)

Akerkar, Rajendra

Edit� par Springer, 2018

ISBN 10 : 3319918508 ISBN 13 : 9783319918501

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Models of Computation for Big Data

Rajendra Akerkar

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3319918508 ISBN 13 : 9783319918501

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms andthe underlying mathematical techniques. There is a need to understand foundational strengths andaddress the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory.Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity. N� de r�f. du vendeur 9783319918501

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Models of Computation for Big Data

Rajendra Akerkar

Edit� par Springer International Publishing Dez 2018, 2018

ISBN 10 : 3319918508 ISBN 13 : 9783319918501

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms andthe underlying mathematical techniques. There is a need to understand foundational strengths andaddress the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory.Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity. 112 pp. Englisch. N� de r�f. du vendeur 9783319918501

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Models of Computation for Big Data

Rajendra Akerkar

Edit� par Springer International Publishing, Springer Nature Switzerland Dez 2018, 2018

ISBN 10 : 3319918508 ISBN 13 : 9783319918501

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths and address the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory.Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 112 pp. Englisch. N� de r�f. du vendeur 9783319918501

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